Segmentation best practices for email - festivals 2026

Segmentation Best Practices

Apply these 9 rules to maximise the impact of your festival and event attendee segments, increase ticket sale conversion and improve the ROI of your email marketing campaigns.

1. Preview Before Sending

Always use the Preview function to:

✅ See the estimated size of your audience ✅ Review 10-20 example profiles ✅ Detect if the segment is too small or too large ✅ Verify that the filters are correct

Target Sizes

What is the ideal segment size for each type of festival campaign?

Campaign Type	Ideal Size
Mass email	1,000+ fans
Segmented promotion	300-1,000 fans
Exclusive VIP offer	50-300 fans
A/B test (per variant)	100+ fans

If your segment has:

< 50 fans: Too specific → consider broadening
> 10,000 fans: Too broad → consider sub-segmenting

2. Start Simple, Iterate Towards Complexity

First Campaign

❌ Do not do this:

(City equals "Madrid" OR "Barcelona")
AND (Age 25-40)
AND (Events >= 3)
AND (Spend > €200)
AND (Temperature "Hot")
AND (Did not open email in 30 days)

✅ Do this:

City equals "Madrid"

Recommended Progression

Weeks 1-2: Simple segments (1-2 criteria)
Weeks 3-4: Add behaviour (spend, attendance)
Month 2: Combine demographics + behaviour
Month 3+: Advanced multi-group segments

Measure results at each iteration and learn which criteria make the most difference.

3. Document Your Successful Segments

Naming Convention

✅ Good names:

VIP_Reactivation_Madrid_Q1_2026
EarlyBird_Festival_Barcelona_Summer
New_Fans_Last_30days
Test_SubjectLine_Group_A

❌ Bad names:

Segment 1
Test xyz
Campaign_final_final_v2
asdf

What to Document

When a segment produces good results:

Save it with a descriptive name
Note down:
- Which campaign you ran
- Results (open rate, click, conversion)
- Date of execution
- Key learnings
Reuse it in similar campaigns
Share it with your team

Documentation example:

Name: VIP_Reactivation_Madrid_Q1_2026
Date: 15 Jan 2026
Audience: 456 fans
Campaign: 3-step email sequence with 20% discount
Results:
  - Open: 48%
  - Click: 18%
  - Conversion: 22%
  - ROI: 12x
Learnings: 20% discount is the sweet spot, 30% cannibalises margins

4. Respect Audience Fatigue

Do not over-contact the same segments.

❌ Bad Example

Monday: Email to "Fans in Madrid"
Tuesday: Email to "Fans aged 25-35 in Madrid"
Wednesday: Email to "Fans who bought in Madrid"

→ Same fan receives 3 emails in 3 days

✅ Done Well

Monday: Email to "Fans in Madrid who did NOT receive an email in the last 7 days"
Thursday: Email to a completely different audience (Barcelona)
Next Monday: You can contact Madrid again

General Rules

Frequency	Audience
Maximum 2-3 emails/week	To the same segment
Minimum 3-5 days	Between emails to the same fan
1 email/day	For Very Hot, highly engaged VIPs only

Exception: Automated sequences for welcome, abandoned carts, etc. (transactional flows).

The optimal frequency depends on segment temperature. For specific questions, see our FAQ section on frequency and deliverability.

5. Use Groups for Small Tests

Before sending to 50,000 fans, test with a small group.

Recommended Workflow

Split your segment into 10 groups
Send only to Group 1 (10% of your base)
Wait 24-48h and measure results
If it works well → send to Groups 2-10
If it does not work → adjust and test again

Benefits:

✅ You reduce the risk of burning your entire audience
✅ You can adjust the message based on early data
✅ You catch errors (broken links, typos) with minimal impact

6. Combine Behaviour + Demographics

The best segments combine WHO the fan is with WHAT they have done.

Weak (Demographics Only)

Age 25-35 in Barcelona

Problem: Too broad, poor predictor of engagement.

Better (Behaviour Only)

Attended 3+ festivals

Better, but ignores geographic and demographic context.

Optimal (Combined)

Age 25-35 in Barcelona
AND
Attended 3+ festivals
AND
Temperature "Hot"

High conversion probability: Profile + behaviour + engagement.

7. Monitor Your Segment Sizes

Assessment Guide

Size	Assessment	Recommended Action
< 50	Very small	Consider broadening criteria
50-200	Small	OK for ultra-exclusive offers
200-1,000	Medium	✅ Ideal for segmentation
1,000-10,000	Large	✅ Optimal for campaigns
> 10,000	Very large	Consider sub-segmenting for relevance

Exception: If your total base is small (< 500 fans), a segment of 30-50 may be reasonable.

What to Do If Your Segment Is Too Small

Remove the most restrictive criterion
Change operators (e.g. “greater than €500” → “greater than €200”)
Broaden the geography (e.g. “City Madrid” → “Province of Madrid”)
Use OR instead of AND (where it makes sense)

What to Do If Your Segment Is Too Large

Add a behaviour criterion (engagement, spend)
Refine demographics (age, more specific location)
Split into sub-segments by Nevent Temperature
Use groups for progressive sends

8. Update Segments Regularly

Behaviour-based segments are dynamic.

Example:

Today: Fan is at “Cold Temperature”
They buy a ticket tomorrow
Next week: They move up to “Hot”

Update Frequency

Segment Type	Frequency
Behaviour (temperature, purchases, engagement)	Before each campaign
Demographic (age, location)	Quarterly
Historical (“Attended Festival 2024”)	Does not change (static)

9. Use Exclusions When Necessary

Sometimes it is easier to define who you do not want to contact.

Example: Promotion for New Fans

Approach 1 (Include):

Number of events attended: Equals 1
AND
Purchase date: In the last 90 days

Approach 2 (Exclude):

All fans in Madrid who accept emails
EXCEPT
  Number of events attended: Greater than 5
  (they are already loyal fans, this offer is not for them)

When to use exclusions:

Offers for new fans (exclude VIPs)
Reactivation (exclude fans who were recently active)
Testing (exclude fans who already received another variant)

Pre-Send Checklist

Before running your campaign, verify:

Did I review the fan preview?
Is the audience size reasonable?
Is the segment name descriptive?
Do the criteria make sense for my objective?
Did I document what I am going to measure?
Did I configure groups if this is an A/B test?
Did I verify I am not over-contacting this audience?

KPIs to Measure Success

Email Performance

What email marketing metrics should I aim for with festival segmentation?

Metric	Baseline	Target with Segmentation	Excellent
Open Rate	18-22%	30-40%	45%+
Click Rate	2-4%	8-12%	15%+
Conversion	1-3%	5-10%	12%+
Unsubscribe	0.5-1%	0.1-0.3%	<0.1%

Engagement

Metric	What It Measures	Target
Time to Open	How quickly they open	< 24h (engaged fans)
Click-to-Open Rate	% who click after opening	25-40%
Bounce Rate	Invalid emails	< 2%

Business Impact

Metric	Target
ROI	8-15x
Revenue per Email	€5-15
Customer Lifetime Value	+30% vs non-segmented

Next Steps

Apply these practices and consult:

FAQ — Answers to common questions
Use Cases — Practical application
Back to Introduction — Full review

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